Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)

Final Project of STCS6701

An attemp to VAE/GMVAE

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

MLA Group Project: VAE with a VampPrior

Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"

Wasserstein Auto-Encoders

Deep universal probabilistic programming with Python and PyTorch

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

Conditional variational autoencoder implementation in Torch

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

A Collection of Variational Autoencoders (VAE) in PyTorch.